A dynamic voltage regulation method and system for an energy storage converter

Abstract

This invention relates to the field of energy storage converter control technology, and discloses a dynamic voltage regulation method and system for energy storage converters, including a data acquisition module and an evaluation and management module. The system acquires voltage and current change data through the data acquisition module, classifies them into datasets, and the intelligent management module sets the monitoring cycle, analyzes the changing trend of the instantaneous voltage value of each phase, generates corresponding fluctuation data sets, quickly locates the root cause of problems, monitors the waveform of the voltage amplitude of each phase in real time, and generates corresponding monitoring data. It can be adapted to power grid systems or energy storage devices of different scales. The intelligent management module analyzes the deviation loss of electrical energy during each conversion process, accurately evaluates the energy conversion efficiency of the energy storage converter in rectification / inversion mode, and has high integrated evaluation accuracy. The intelligent management module judges the power quality of the power grid, harmonic distortion problems, and load imbalance problems of the energy storage converter, and outputs corresponding regulation suggestions, with fast dynamic regulation response speed.

Description

Technical Field

[0001] This invention relates to the field of energy storage converter control technology, specifically to a dynamic voltage regulation method and system for energy storage converters. Background Technology

[0002] The energy storage converter is a key component in an energy storage system, responsible for bidirectional AC / DC conversion and controlling the charging and discharging process of the energy storage battery. Through the combination of power electronics and energy storage technologies, it ensures precise control, optimized management, and efficient utilization of electrical energy. The energy storage converter first receives DC power from the energy storage system, then converts it into high-frequency AC power through an internal DC / AC bidirectional converter. During this process, the converter, according to instructions from the control unit, controls the voltage, frequency, and power of the output AC power by adjusting the on and off times of the switching transistors. The converted high-frequency AC power is then filtered by an output filter to remove high-frequency harmonic components, resulting in AC power that meets the requirements. This AC power can be directly supplied to AC loads or, after voltage transformation using transformers or other equipment, supplied to other devices. During charging, the energy storage converter converts the AC power from the grid into DC power through rectification to charge the battery. The charging and discharging control function of the energy storage converter, based on real-time grid demand and battery status information, is intelligently controlled and managed by the control unit to achieve optimized energy utilization. With the rapid development of renewable energy and the advancement of smart grid construction, energy storage converters will play an increasingly important role in future energy systems.

[0003] Currently, traditional dynamic voltage regulation methods for energy storage converters often rely on manual parameter adjustment when facing rapid changes in grid voltage. The response speed cannot meet the requirements, resulting in the energy storage device being unable to provide or absorb electrical energy in a timely manner, leading to low energy utilization and poor power system stability. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a dynamic voltage regulation method and system for energy storage converters, which has the advantages of high integration accuracy and fast dynamic regulation response speed, and solves the problems of manual dependence and high response lag in traditional dynamic voltage regulation methods for energy storage converters.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a dynamic voltage regulation method for an energy storage converter, comprising the following steps:

[0006] Step 1: Connect the power grid and energy storage converter through the network to obtain voltage change data and current change data, and classify them into voltage datasets and current datasets;

[0007] Step 2: Set a fixed monitoring period Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. ;

[0008] Step 3: Based on the voltage dataset, monitor the waveform of the voltage amplitude of each phase in real time and generate the corresponding monitoring data. ;

[0009] Step 4: Based on the current dataset, analyze the energy deviation loss during each conversion process. ;

[0010] Step 5: Set a fixed fluctuation range Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It determines whether there are power quality or harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and outputs corresponding control suggestions.

[0011] Preferably, in step one, the expression for the voltage dataset is: , to Indicates the first to the second Voltage data at each change, voltage data includes instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude, This indicates the time point at which the voltage data was acquired.

[0012] Preferably, in step one, the expression for the current dataset is: , to Indicates the first to the second The current data during each change includes AC power, DC power, and the conversion sequence. This indicates the time point at which the current data was acquired.

[0013] Preferably, in step two, the fluctuation data group The calculation process is as follows:

[0014] Based on the voltage dataset, the monitoring cycle is statistically analyzed. Voltage change data within the period, and the monitoring cycle within The instantaneous value of phase voltage is marked as , to Indicates the first to the second The change Instantaneous value of phase voltage;

[0015]

[0016]

[0017] In the formula, Indicates the monitoring period Inside The average value of the instantaneous phase voltage. Indicates the first The change Instantaneous value of phase voltage , This indicates that each change is calculated sequentially. The absolute difference between the instantaneous value and the average value of the phase voltage. This indicates that the monitoring period is calculated based on the standard deviation formula. Inside The degree of dispersion of the instantaneous value of phase voltage Indicates the monitoring period Inside A set of data on phase voltage fluctuations.

[0018] Preferably, in step three, the monitoring data The calculation process is as follows:

[0019] Based on the voltage dataset, Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ;

[0020]

[0021]

[0022] In the formula, This represents the average value of the three-phase voltage amplitude of the power grid. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value.

[0023] Preferably, in step four, the deviation loss The calculation process is as follows:

[0024] Based on the current dataset, extract the first... The current change data at the nth time point, and the nth time point The AC power at each time point is marked as , will the The DC power at each time point is marked as ;

[0025] If the first The conversion sequence at each time point is in rectification mode.

[0026]

[0027] In the formula, This indicates the power deviation loss when the energy storage converter converts AC to DC in rectification mode. ;

[0028] If the first The conversion sequence at each time point is in reverse mode.

[0029]

[0030] In the formula, This indicates the power deviation loss when the energy storage converter converts DC to AC in inverter mode. .

[0031] Preferably, in step five, the single-phase voltage fluctuation data set... If any value exceeds the fluctuation range When this occurs, it indicates abnormal single-phase voltage fluctuations in the power grid, suggesting a power quality problem. It is recommended to promptly activate the protection mechanism of the energy storage converter.

[0032] Preferably, in step five, monitoring data If any value exceeds the nominal voltage threshold... When the voltage amplitude is 10%, it indicates an abnormal grid voltage amplitude and a harmonic distortion problem. It is recommended that the energy storage converter re-track the grid phase.

[0033] Preferably, in step five, the deviation loss Exceeding the loss range This indicates that the power loss of the energy storage converter is severe and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in a timely manner.

[0034] A dynamic voltage regulation system for an energy storage converter includes a data acquisition module and an intelligent management module;

[0035] The data acquisition module consists of a power grid data unit and a converter data unit. The power grid data unit connects to the power grid via a network to acquire voltage datasets, which include... instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude; the converter data unit collects current datasets via a network connection to the energy storage converter, and the current datasets include AC power, DC power, and conversion sequence.

[0036] The intelligent management module consists of a power grid assessment unit, a conversion assessment unit, and a control management unit. The power grid assessment unit is configured with a fixed monitoring period. Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. The power grid assessment unit monitors the waveform of the voltage amplitude of each phase in real time based on the voltage dataset and generates corresponding monitoring data. The conversion evaluation unit analyzes the deviation and loss of electrical energy during each conversion process based on the current dataset. The control and management unit is configured with a fixed fluctuation range. Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It determines whether there are power quality or harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and outputs corresponding control suggestions.

[0037] Compared with the prior art, the present invention provides a dynamic voltage regulation method and system for energy storage converters, which has the following beneficial effects:

[0038] 1. This invention connects the power grid and the energy storage converter via a data acquisition module network to obtain voltage and current change data, which are then categorized into voltage and current datasets. The intelligent management module is set with a fixed monitoring cycle. Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. This allows for quick identification of the root cause of problems, facilitating the development of targeted control strategies and shortening fault handling time. The intelligent management module monitors the waveform of the voltage amplitude of each phase in real time based on the voltage dataset and generates corresponding monitoring data. The algorithm model is highly robust and can be adapted to power grid systems or energy storage devices of different sizes. The intelligent management module analyzes the deviation and loss of electrical energy during each conversion process based on the current dataset. It accurately assesses the energy conversion efficiency of energy storage converters in rectification / inverter modes, with high integration accuracy.

[0039] 2. This invention sets a fixed range of fluctuations through an intelligent management module. Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss To determine whether the power grid has power quality and harmonic distortion problems, and whether the energy storage converter has load imbalance problems, single-phase voltage fluctuation data sets. If any value exceeds the fluctuation range When this occurs, it indicates abnormal single-phase voltage fluctuations in the power grid, suggesting a power quality issue. It is recommended to promptly activate the protection mechanism of the energy storage converter to effectively suppress harmonic distortion and voltage sags / surges, thereby improving the power supply quality of the grid. (Monitoring data...) If any value exceeds the nominal voltage threshold... When the voltage amplitude drops to 10%, it indicates an abnormal grid voltage amplitude and harmonic distortion issues. It is recommended that the energy storage converter re-track the grid phase to smooth power fluctuations, improve grid resilience in scenarios with a high proportion of renewable energy integration, and reduce deviation losses. Exceeding the loss range When this occurs, it indicates that the power loss of the energy storage converter is severe and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in a timely manner, guide the operation and maintenance personnel to check the battery components or adjust the operation strategy, reduce energy waste and extend equipment life, and the dynamic control response speed is fast. Attached Figure Description

[0040] Figure 1 This is a diagram illustrating the steps of the method of the present invention;

[0041] Figure 2 This is a system flowchart of the present invention. Detailed Implementation

[0042] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] Traditional dynamic voltage regulation methods for energy storage converters often rely on manual parameter adjustment when facing rapid changes in grid voltage, resulting in insufficient response speed. This leads to the energy storage device being unable to provide or absorb energy in a timely manner, resulting in low energy utilization and poor power system stability. Therefore, this paper presents a dynamic voltage regulation method and system for energy storage converters. Please refer to [link / reference]. Figures 1-2 A dynamic voltage regulation method for an energy storage converter includes the following steps:

[0044] Step 1: Connect the power grid and energy storage converter through the network to obtain voltage change data and current change data, and classify them into voltage datasets and current datasets;

[0045] The expression for the voltage dataset is: , to Indicates the first to the second Voltage data at each change, voltage data includes instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude, Indicates the time point at which the voltage data was acquired;

[0046] The expression for the current dataset is: , to Indicates the first to the second The current data during each change includes AC power, DC power, and the conversion sequence. Indicates the time point at which the current data was acquired;

[0047] Step 2: Set a fixed monitoring period Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. The calculation process is as follows:

[0048] Based on the voltage dataset, the monitoring cycle is statistically analyzed. Voltage change data within the period, and the monitoring cycle within The instantaneous value of phase voltage is marked as , to Indicates the first to the second The change Instantaneous value of phase voltage;

[0049]

[0050]

[0051] In the formula, Indicates the monitoring period Inside The average value of the instantaneous phase voltage. Indicates the first The change Instantaneous value of phase voltage , This indicates that each change is calculated sequentially. The absolute difference between the instantaneous value and the average value of the phase voltage. This indicates that the monitoring period is calculated based on the standard deviation formula. Inside The degree of dispersion of the instantaneous value of phase voltage Indicates the monitoring period Inside The data set of phase voltage fluctuations can quickly pinpoint the root cause of the problem, which is conducive to the subsequent development of targeted control strategies and shortens the fault handling time.

[0052] Step 3: Based on the voltage dataset, monitor the waveform of the voltage amplitude of each phase in real time and generate the corresponding monitoring data. The calculation process is as follows:

[0053] Based on the voltage dataset, Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ;

[0054]

[0055]

[0056] In the formula, This represents the average value of the three-phase voltage amplitude of the power grid. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value is used to calculate the algorithm model, which is highly robust and can be adapted to power grid systems or energy storage devices of different scales.

[0057] Step 4: Based on the current dataset, analyze the energy deviation loss during each conversion process. The calculation process is as follows:

[0058] Based on the current dataset, extract the first... The current change data at the nth time point, and the nth time point The AC power at each time point is marked as , will the The DC power at each time point is marked as ;

[0059] If the first The conversion sequence at each time point is in rectification mode.

[0060]

[0061] In the formula, This indicates the power deviation loss when the energy storage converter converts AC to DC in rectification mode. ;

[0062] If the first The conversion sequence at each time point is in reverse mode.

[0063]

[0064] In the formula, This indicates the power deviation loss when the energy storage converter converts DC to AC in inverter mode. It accurately assesses the energy conversion efficiency of energy storage converters in rectification / inverter modes, with high integrated evaluation accuracy;

[0065] Step 5: Set a fixed fluctuation range Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It determines whether there are power quality or harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and outputs corresponding control suggestions;

[0066] Single-phase voltage fluctuation data set If any value exceeds the fluctuation range When this occurs, it indicates abnormal single-phase voltage fluctuations in the power grid, suggesting a power quality issue. It is recommended to promptly activate the protection mechanism of the energy storage converter to effectively suppress harmonic distortion and voltage sags / surges, thereby improving the power supply quality of the grid. (Monitoring data...) If any value exceeds the nominal voltage threshold... When the voltage amplitude drops to 10%, it indicates an abnormal grid voltage amplitude and harmonic distortion issues. It is recommended that the energy storage converter re-track the grid phase to smooth power fluctuations, improve grid resilience in scenarios with a high proportion of renewable energy integration, and reduce deviation losses. Exceeding the loss range When this occurs, it indicates that the power loss of the energy storage converter is severe and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in a timely manner, guide the operation and maintenance personnel to check the battery components or adjust the operation strategy, reduce energy waste and extend equipment life, and the dynamic control response speed is fast.

[0067] A dynamic voltage regulation system for an energy storage converter includes a data acquisition module and an intelligent management module;

[0068] The data acquisition module consists of a power grid data unit and a converter data unit. The power grid data unit connects to the power grid via a network to acquire voltage datasets, which include... instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude; the converter data unit collects current datasets via a network connection to the energy storage converter. The current datasets include AC power, DC power, and conversion sequence.

[0069] The intelligent management module consists of a power grid assessment unit, a conversion assessment unit, and a control management unit. The power grid assessment unit is set with a fixed monitoring cycle. Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. The power grid assessment unit monitors the waveform of the voltage amplitude of each phase in real time based on the voltage dataset and generates corresponding monitoring data. The conversion evaluation unit analyzes the deviation and loss of electrical energy during each conversion process based on the current dataset. The integrated assessment is highly accurate, and the control and management unit is set with a fixed range of fluctuations. Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It can determine whether there are power quality and harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and output corresponding control suggestions. The dynamic control response is fast.

[0070] Example 1:

[0071] In this experiment, the monitoring period was selected. Using the grid voltage data over 5 minutes as the experimental subject, the instantaneous values ​​of phase A voltage per minute were measured to be 220V, 225V, 230V, 228V, and 227V, respectively. Phase voltage fluctuation data set The calculation process is as follows:

[0072]

[0073]

[0074]

[0075]

[0076] In the formula, Indicates within 5 minutes The average value of the instantaneous phase voltage. V represents the first The change Instantaneous value of phase voltage , This indicates that each change is calculated sequentially. The absolute difference between the instantaneous value and the average value of the phase voltage. This indicates that, based on the standard deviation formula, the result within 5 minutes is calculated. The degree of dispersion and fluctuation range of the instantaneous value of phase voltage Set to 0-50, after judgment, Phase voltage fluctuation data group middle, The standard deviation of the instantaneous phase voltage has exceeded the fluctuation range. This indicates abnormal single-phase voltage fluctuations in the power grid, suggesting a power quality issue. It is recommended to activate the protection mechanism of the energy storage converter promptly.

[0077] Example 2:

[0078] In this experiment, the current time point is selected. The phase voltage amplitude is 10.5kV. The phase voltage amplitude is 10.2kV. The grid voltage data with a phase voltage amplitude of 9.8kV was used as the experimental object to monitor the data. The calculation process is as follows:

[0079]

[0080]

[0081] In the formula, This represents the average value of the three-phase voltage amplitude of the power grid. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value, the nominal voltage threshold. Set to 10kV, based on the current monitoring data... In the above tests, all values ​​did not exceed the nominal voltage threshold. A 10% value indicates that the grid voltage amplitude is normal and there is no harmonic distortion problem, so the energy storage converter does not need to re-track the grid phase.

[0082] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A dynamic voltage regulation method for an energy storage converter, characterized in that, Includes the following steps: Step 1: Connect the power grid and energy storage converter through the network to obtain voltage change data and current change data, and classify them into voltage datasets and current datasets; Step 2: Set a fixed monitoring period Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. Fluctuation data group The calculation process is as follows: Based on the voltage dataset, the monitoring cycle is statistically analyzed. Voltage change data within the period, and the monitoring cycle within The instantaneous value of phase voltage is marked as , to Indicates the first to the second The change Instantaneous value of phase voltage; ； ； In the formula, Indicates the monitoring period Inside The average value of the instantaneous phase voltage. Indicates the first The change Instantaneous value of phase voltage , This indicates that each change is calculated sequentially. The absolute difference between the instantaneous value and the average value of the phase voltage. This indicates that the monitoring period is calculated based on the standard deviation formula. Inside The degree of dispersion of the instantaneous value of phase voltage Indicates the monitoring period Inside Phase voltage fluctuation data set; Step 3: Based on the voltage dataset, monitor the waveform of the voltage amplitude of each phase in real time and generate the corresponding monitoring data. Monitoring data The calculation process is as follows: Based on the voltage dataset, Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ,Will Phase voltage amplitude is marked as ; ； ； In the formula, This represents the average value of the three-phase voltage amplitude of the power grid. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value. express The absolute difference between the phase voltage amplitude and the average value; Step 4: Based on the current dataset, analyze the energy deviation loss during each conversion process. Deviation loss The calculation process is as follows: Based on the current dataset, extract the first... The current change data at the nth time point, and the nth time point The AC power at each time point is marked as , will the The DC power at each time point is marked as ; If the first The conversion sequence at each time point is in rectification mode. ； In the formula, This indicates the power deviation loss when the energy storage converter converts AC to DC in rectification mode. ; If the first The conversion sequence at each time point is in reverse mode. ； In the formula, This indicates the power deviation loss when the energy storage converter converts DC to AC in inverter mode. ; Step 5: Set a fixed fluctuation range Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It determines whether there are power quality or harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and outputs corresponding control suggestions.

2. The dynamic voltage regulation method for an energy storage converter according to claim 1, characterized in that: In step one, the expression for the voltage dataset is: , to Indicates the first to the second Voltage data at each change, voltage data includes instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude, This indicates the time point at which the voltage data was acquired.

3. The dynamic voltage regulation method for an energy storage converter according to claim 2, characterized in that: In step one, the expression for the current dataset is: , to Indicates the first to the second The current data during each change includes AC power, DC power, and the conversion sequence. This indicates the time point at which the current data was acquired.

4. The dynamic voltage regulation method for an energy storage converter according to claim 3, characterized in that: Step five, single-phase voltage fluctuation data group If any value exceeds the fluctuation range When this occurs, it indicates abnormal single-phase voltage fluctuations in the power grid, suggesting a power quality problem. It is recommended to promptly activate the protection mechanism of the energy storage converter.

5. The dynamic voltage regulation method for an energy storage converter according to claim 4, characterized in that: Step five involves monitoring data. If any value exceeds the nominal voltage threshold... When the voltage amplitude is 10%, it indicates an abnormal grid voltage amplitude and a harmonic distortion problem. It is recommended that the energy storage converter re-track the grid phase.

6. The dynamic voltage regulation method for an energy storage converter according to claim 5, characterized in that: Step five, deviation loss Exceeding the loss range This indicates that the power loss of the energy storage converter is severe and there is a load imbalance problem. It is recommended to check the battery components of the energy storage converter in a timely manner.

7. A dynamic voltage regulation system for an energy storage converter, applied to the dynamic voltage regulation method for an energy storage converter as described in any one of claims 1-6, characterized in that: It includes a data acquisition module and an intelligent management module; The data acquisition module consists of a power grid data unit and a converter data unit. The power grid data unit connects to the power grid via a network to acquire voltage datasets, which include... instantaneous value of phase voltage instantaneous value of phase voltage instantaneous value of phase voltage Phase voltage amplitude, Phase voltage amplitude and Phase voltage amplitude; the converter data unit collects current datasets via a network connection to the energy storage converter, and the current datasets include AC power, DC power, and conversion sequence. The intelligent management module consists of a power grid assessment unit, a conversion assessment unit, and a control management unit. The power grid assessment unit is configured with a fixed monitoring period. Then, by combining the voltage dataset, the changing trend of the instantaneous voltage value of each phase is analyzed, and the corresponding fluctuation data set is generated. The power grid assessment unit monitors the waveform of the voltage amplitude of each phase in real time based on the voltage dataset and generates corresponding monitoring data. The conversion evaluation unit analyzes the deviation and loss of electrical energy during each conversion process based on the current dataset. The control and management unit is configured with a fixed fluctuation range. Loss range and a fixed nominal voltage threshold Combined with fluctuation data sets Monitoring data and deviation loss It determines whether there are power quality or harmonic distortion problems in the power grid, and whether there are load imbalance problems in the energy storage converter, and outputs corresponding control suggestions.

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